This research article presents a comparative analysis between logistic regression as a traditional method, artificial neural networks (ANNs), and decision tree as machine learning techniques for predicting credit risk. It meticulously examines and evaluates these three methods, elucidating their...

Mortgage default prediction is always on the table for financial institutions. Banks are interested in provision planning, while regulators monitor systemic risk, which this sector may possess. This research is focused on predicting defaults on a one-year horizon using data from the Ukrainian...

A tourist recommendation system has been implemented based on python, Django framework and MySQL database. Firstly, crawler technology is used to crawl the ratings(reviews of customer experiences) information of TripAdvisor, and then the crawled ratings data is stored in MySQL. In the system,...

Japan's feed self-sufficiency rate is the lowest among developed countries. The Japanese government has introduced a feed rice subsidy, a flagship agricultural policy, to address this issue. However, unlike expectations, the perceived benefit of growing feed rice is low, and about 60% of farmers...

In pharmaceutical R&D, decision makers face a large portion of uncertainty in portfolio decisions. Existing optimization tools are mostly based on expected values, ignoring uncertainty, and most often deliver a single, "best" selection of projects. A decision tree approach can aid decision...

Background: This paper explores the potential of Industry 5.0 in driving societal transition to a circular economy. We focus on the strategic role of reverse logistics in this context, underlining its significance in optimizing resource use, reducing waste, and enhancing sustainable production...